critical brain networks why do we need a brain at all? why the brain should be critical?
Post on 19-Jan-2016
26 Views
Preview:
DESCRIPTION
TRANSCRIPT
1
Critical Brain Networks
•Why do we need a brain at all?•Why the brain should be critical?
Dante R. Chialvo
Physiology, Northwestern University, Chicago.
d-chialvo@northwestern.edu Reprints: www.chialvo.net
2
Reading
– Articles:
» Eguiluz V, Chialvo DR, Cecchi G, Baliki M, AV Apkarian. Scale-free brain functional networks. Phys. Rev. Letters 92, 018102 (2005).
» Chialvo DR. Critical brain networks. Physica A, 340,4,756-765 (2004).
» Beggs J. & Plenz D, Neuronal Avalanches in Neocortical Circuits J. of Neuroscience, 3 23(35):11167 (2003).
– Review:
» Sporns O, Chialvo DR, Kaiser M, and Hilgetag CC. Organization, Development and Function of Complex Brain Networks. Trends in Cognitive Sciences, 8 (9): 387-433 (2004).
– Books :
» How Nature Works. (Per Bak)
» Things that think. (Chialvo, 2006)
3
Roadmap
Why do we need a brain at allHow to extract brain networks using fMRI(experimental results)Is anything ever new?(experimental results)Outlook
“Brainome”
Project
4
Second: What is special about being critical? Recall Ferromagnetic-paramagnetic Phase-
Transition
T<TC T>TCT~TC
CriticalCriticalSubCriticalSubCritical SuperCriticSuperCriticalal
Cri
tica
l Tem
per
ature
Cri
tica
l Tem
per
ature
Snapshots Snapshots of spins of spins states in a states in a model model system system (Ising)(Ising)
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
Long Range Correlations Only at the Critical Long Range Correlations Only at the Critical state!state!
Why the brain should be Critical?Why do we need a brain at all?Why do we need a brain at all?
•In a sub-critical world everything would be simple and In a sub-critical world everything would be simple and uniform - there would be nothing to learn. uniform - there would be nothing to learn.
•In a supercritical world, everything would be changing all the In a supercritical world, everything would be changing all the time - it would be impossible to learn. time - it would be impossible to learn.
The brain is necessary to navigate in a complex, critical world .The brain is necessary to navigate in a complex, critical world .
A brain not only have to remember, but also to forget and A brain not only have to remember, but also to forget and adapt.adapt.
•In a sub-critical brain memories would be frozen. In a sub-critical brain memories would be frozen.
•In a supercritical brain, patterns change all the time so no In a supercritical brain, patterns change all the time so no long term memory would be possible.long term memory would be possible.
To be highly To be highly susceptiblesusceptible, the brain itself has to be in the in-, the brain itself has to be in the in-between critical state.between critical state.
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
What one can observe?
Brain dynamics can be described in similar terms as Brain dynamics can be described in similar terms as thermodynamic systems at the thermodynamic systems at the criticalcritical point point including:including:
At large scaleAt large scale11::• Cortical Long range correlations in space and time Cortical Long range correlations in space and time (scale-free)(scale-free)
At smaller scaleAt smaller scale22::
• “ “Neuronal avalanches” is the normal homeostatic Neuronal avalanches” is the normal homeostatic state of neocortical circuits. ( “cortical-quakes” ).state of neocortical circuits. ( “cortical-quakes” ).
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
1Eguiluz V, et al Phys. Rev. Letters (2005); Chialvo DR. Physica A, (2004). 2Beggs J. & Plenz D, J. Neuroscience (2003).
7
Can we extract functional brain networks with fMRI?
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
8
fMRI
How toHow to extract extract functional brain networks functional brain networks with fMRIwith fMRI
222 ,, txVtxVxV
(I)
(II)
(III)
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
9
fMRI
My brain’s network (finger tapping)My brain’s network (finger tapping)
Undirected Degree (k)
Nodes spatial locationNodes spatial location
Colors indicate the number of links (or “degree”) of each node. yellow=1, green 2, red=3, blue=4, etc
Indicate Indicate “airports”“airports”
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
10
fMRI
Brain’s degree distribution (i.e., how many links each node Brain’s degree distribution (i.e., how many links each node have)have)
Scale-free
k- with ~ 2
From Eguiluz et al, Phys. Rev. Letters (2005).
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
11
fMRI
Average Degree DistributionAverage Degree Distribution
From Eguiluz et al, Phys. Rev. Letters (2005).
=2Few but very well connected brain sites
n=22 from 7 subjects
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
12
fMRI
Average Links Length Distribution Average Links Length Distribution
From Eguiluz et al, Phys. Rev. Letters (2005).
Voxel length“~ Brain radius”
Probability of finding a link between two nodes separated by a distance x <
k()~1/x2
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
13
fMRI
Average Links Length Distribution agrees with recent results (in Average Links Length Distribution agrees with recent results (in resting condition) resting condition)
Functional connectivity vs. Functional connectivity vs. anatomical distance.anatomical distance.
( Symmetric ( Symmetric interhemispheric)interhemispheric)
From Salvador et al, Cerebral From Salvador et al, Cerebral Cortex 2005.Cortex 2005.
PC()~1/x2
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
14
fMRI
Average Links Length Distribution in line with recent proposalsAverage Links Length Distribution in line with recent proposals
Hypothetical connection scheme of cortical interneurons and relationship between coverage and
number of neurons in each class.
Petermann and De los Rios, 2005.
Buzsaki et al, TRENDS in Neurosciences, 2004.
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
15
fMRI
Something that bother us: Degree vs ClusteringSomething that bother us: Degree vs Clustering
From Eguiluz et al, Phys. Rev. Letters (2005).
Clustering estimates the proportion of nodes forming “triangles”.
Clustering relatively independent of connectivity
Assortative
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
16
fMRI
Group statistics Group statistics
From Eguiluz et al, Phys. Rev. Letters (2005).
rc N C L <k> Crand Lrand
0.6 31503 0.14 11.4 13.41
2.0 4.3x10-
4
3.9
0.7 17174 0.13 12.9 6.29 2.1 3.7x10-
4
5.3
0.8 4891 0.15 6. 4.12 2.2 8.9x10-
4
6.0
“Small-world”
C >> Crand
L ~
Lrand Network N C L <k> . Crand Lrand
C. Elegans1
282 0.28 2.65 7.68 . 0.025 2.1
Macaque VC2
32 0.55 1.77 9.85 . 0.318 1.5
Cat Cortex2
65 0.54 1.87 17.48
. 0.273 1.4
fMRI-results
Previous related results
Brain Brain networks are networks are small-word small-word and scale-freeand scale-free
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
17
L ~ 5 predicted LONG AGO by Szentagothai
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
18
fMRI
Finger tapping vs. Finger tapping vs. MusicMusic
From Eguiluz et al, Phys. Rev. Letters (2005).
•Different tasksDifferent tasks•Different networksDifferent networks•Similar scalingSimilar scaling
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
Networks are scale free across tasks!Networks are scale free across tasks!
19
Is anything
ever new?
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
20
Warren McCulloch Gerhardt von Bonin
Percival Bailey
J. Neurophysiology, 1941. J. G. Dusser de Barenne, Garol and McCulloch FUNCTIONAL ORGANIZATION OF SENSORY AND ADJACENT CORTEX OF THE MONKEY.
Ever new? 1940 McCulloch Chemical Neuronography...
Illinois Neuropsychiatric Institute (Chicago).
Recording cortical activity after local Strychninization
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
21
Ever new? 1940 McCulloch Chemical Neuronography...
Adjacency matrix of cortico-cortical “functional” connectivity, after
McCulloch (1940)
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
22
Ever new? 1940 McCulloch Chemical Neuronography...
Network analysis of 1940 Chemical Neuronography
Chimpanzee’ Degree and Link Length distribution(calculated from McCullock ,1940 data)
• Non-homogeneous degree• Similar scaling
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
23
We have seen:“In vivo” brain activity lacks a characteristic scale (“scale-free” networks). Theory, consequences… Assortative features …? theory?. Similar analysis for MEG?
The fMRI method allows, in principle, to study the brain “in a dance” rather than “in a pose” and to address dynamical states as emotion, pain, pleasure, uncooperative patients, coma etc). Realizing Brodman’s dream: towards the “Brainome” Integrating the cognitive picture by looking at a list of the 100 most relevant behavior as the “phenotype” and to the 100 or so cortical areas a the “genotype”. ( I.E., equating “activated cortical areas” with “gene expression” and “behavior” with “functional genomics”.)
Blah-Blah-logy
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
24
Brain are critical
Brookhaven N. Lab. 1991
“Per, the brain for me is critical”…
“Yes, for me too Dante!”
25
Open Parenthesis
261. Introduction 2. Complex Networks 3. Catalogue 4. fMRI nets 5. Ever New? 6. Cortical Cultures 7. Conclusion
It takes little to listen...
Functional Magnetic Resonance Imaging of Female and Functional Magnetic Resonance Imaging of Female and Males listening the same story (Mean of 6 Brains, each)Males listening the same story (Mean of 6 Brains, each)
Male
Female
# of SD away from mean
271. Introduction 2. Complex Networks 3. Catalogue 4. fMRI nets 5. Ever New? 6. Cortical Cultures 7. Conclusion
It takes more to talk...
““PET Studies of Memory: Novel versus Practiced Free Recall of PET Studies of Memory: Novel versus Practiced Free Recall of Word Lists” NeuroImage (1995)Word Lists” NeuroImage (1995) Andreasen et al. Andreasen et al.
281. Introduction 2. Complex Networks 3. Catalogue 4. fMRI nets 5. Ever New? 6. Cortical Cultures 7. Conclusion
It takes a whole network for other things ...
““Areas of brain activation in males and females during viewing of Areas of brain activation in males and females during viewing of erotic film excerpts” Human Brain Mapping (2002) Karama et erotic film excerpts” Human Brain Mapping (2002) Karama et al.al.
Females
(Left and Right )•Medial prefrontal cortex•Orbitofrontal •Cingulate gyrus•Thalamus•Insula•Ventral striatum•Amygdala•Occipitotemporal cortex
Males:
•All of the above plus•Hypothalamus
MalesFemales
29
Brains are networks producing behavior ...
“Behavior” (usually bursty, complex, intermittent)
Large scale Small scale
at various scales…
30
Brains are networks producing behavior ...
Bra
in N
ode’
Sta
te
Sn
eeze
1011
0010
0000
0000
0000
0000
0000
000
An
ger
1011
0010
0000
0011
0000
0000
0000
000
Wal
k10
0100
1010
0001
1001
1000
0000
0000
0
Sm
ile11
1000
1110
1110
1000
1000
0000
0000
0
Tal
k10
1100
1011
1000
0000
0000
0000
0000
0
An
gry
tal
k10
1100
1011
1000
0000
0110
0000
0000
0
Lis
ten
ing
1000
0000
0000
0100
0010
0000
0100
000
..
..
..
..
..
..
..
..
Behaviours
Mu
sic
1001
01L
ectu
re01
0111
Ch
ildre
n01
1011
……
Current technology already allows, in principle, to get data towards constructingthe “Brainome”… it will looks like this:
00
100
101
00
1 1
…
cry
31
A few conflictive demands ...
As a collective As a collective the brain the brain have a few conflictive demandshave a few conflictive demands::
» “ “Integrated” but “segregated”. (Sporns, Integrated” but “segregated”. (Sporns, Edelman,TononiEdelman,Tononi11; Pietronero; Pietronero22) )
Q: how different is this from being posed at a phase Q: how different is this from being posed at a phase transition? transition?
» “ “Robust” (structurally stable attractors) but “flexible” Robust” (structurally stable attractors) but “flexible” (today’s good behavior is not tomorrow anymore)(today’s good behavior is not tomorrow anymore)
Q: Which structure and dynamics we know of could satisfy Q: Which structure and dynamics we know of could satisfy that? (Per Bakthat? (Per Bak33 ) )
» Brain are Complex but obviously Self-organized, Darwin Brain are Complex but obviously Self-organized, Darwin Darwin Darwin...Darwin Darwin...
Q: how is it done? (Per Bak, D. PlenzQ: how is it done? (Per Bak, D. Plenz44, others), others)1) O. Sporns, et al, Cerebral Cortex, (2000); 10(2): 127 2) M. De Lucia et al, Physical Review E 71, 016114 (2005)
3) Per Bak, How Nature Works, Oxford Univ. Press, 1997 4) Beggs J. & Plenz D. J. of Neuroscience, 3 23(35):11167 (2003).
1. Complex 2. Critical 3. Networks 4. fMRI nets 5. Ever New? 6. Conclusion
32
Close Parenthesis
top related